Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Canadian national weather services are to benefit from increased funding to the Environment Canada (EC) department over the next five years. There are plans for the EC to deliver weather warnings and forecasts quicker and with more accuracy. The funding is part of Canada's 2013 Economic Action Plan and will include new investment in federal infrastructure, including radar networks and surface weather and climate monitoring stations. Many adverse weather conditions in Canada make travel difficult. Weather information resources in Canada include the Canadian Hurricane Centre, which is predicting an active hurricane season for 2013. Another resource is EC's High-Elevation Travelers Bulletin and Special Weather Statements, which provide information for travelers in the mountain passes of British Columbia. Provinces are waiting to see if any portion of new funding is to be used for the road transport sector to improve weather information systems. Developing road weather information system (RWIS) stations could be particularly helpful in rural locations, where weather information is limited.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it